Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	43
Missing cells	158
Missing cells (%)	16.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.3 KiB
Average record size in memory	246.0 B

Variable types

Categorical	2
Numeric	21

Warnings

`Farm` is highly correlated with `Total_emissions`	High correlation
`Total_emissions` is highly correlated with `Farm`	High correlation
`Land use per 1000kcal (m² per 1000kcal)` is highly correlated with `Land use per kilogram (m² per kilogram)`	High correlation
`Land use per kilogram (m² per kilogram)` is highly correlated with `Land use per 1000kcal (m² per 1000kcal)` and 1 other fields	High correlation
`Land use per 100g protein (m² per 100g protein)` is highly correlated with `Land use per kilogram (m² per kilogram)`	High correlation
`Food product` is highly correlated with `Retail`	High correlation
`Retail` is highly correlated with `Food product`	High correlation
`Eutrophying emissions per 1000kcal (gPO₄eq per 1000kcal)` has 10 (23.3%) missing values	Missing
`Eutrophying emissions per kilogram (gPO₄eq per kilogram)` has 5 (11.6%) missing values	Missing
`Eutrophying emissions per 100g protein (gPO₄eq per 100 grams protein)` has 16 (37.2%) missing values	Missing
`Freshwater withdrawals per 1000kcal (liters per 1000kcal)` has 13 (30.2%) missing values	Missing
`Freshwater withdrawals per 100g protein (liters per 100g protein)` has 17 (39.5%) missing values	Missing
`Freshwater withdrawals per kilogram (liters per kilogram)` has 5 (11.6%) missing values	Missing
`Greenhouse gas emissions per 1000kcal (kgCO₂eq per 1000kcal)` has 10 (23.3%) missing values	Missing
`Greenhouse gas emissions per 100g protein (kgCO₂eq per 100g protein)` has 16 (37.2%) missing values	Missing
`Land use per 1000kcal (m² per 1000kcal)` has 10 (23.3%) missing values	Missing
`Land use per kilogram (m² per kilogram)` has 5 (11.6%) missing values	Missing
`Land use per 100g protein (m² per 100g protein)` has 16 (37.2%) missing values	Missing
`Scarcity-weighted water use per kilogram (liters per kilogram)` has 5 (11.6%) missing values	Missing
`Scarcity-weighted water use per 100g protein (liters per 100g protein)` has 17 (39.5%) missing values	Missing
`Scarcity-weighted water use per 1000kcal (liters per 1000 kilocalories)` has 13 (30.2%) missing values	Missing
`Food product` is uniformly distributed	Uniform
`Food product` has unique values	Unique
`Land use change` has 14 (32.6%) zeros	Zeros
`Animal Feed` has 33 (76.7%) zeros	Zeros
`Processing` has 18 (41.9%) zeros	Zeros
`Transport` has 1 (2.3%) zeros	Zeros
`Packging` has 10 (23.3%) zeros	Zeros
`Freshwater withdrawals per kilogram (liters per kilogram)` has 1 (2.3%) zeros	Zeros
`Scarcity-weighted water use per kilogram (liters per kilogram)` has 1 (2.3%) zeros	Zeros

Reproduction

Analysis started	2021-06-03 18:49:19.044405
Analysis finished	2021-06-03 18:49:57.804615
Duration	38.76 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Food product
Categorical

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	43
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	2.9 KiB

Groundnuts	1
Poultry Meat	1
Cheese	1
Coffee	1
Eggs	1
Other values (38)	38

Length

Max length	19
Median length	10
Mean length	10.02325581
Min length	4

Characters and Unicode

Total characters	431
Distinct characters	44
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	100.0%

Sample

1st row	Wheat & Rye (Bread)
2nd row	Maize (Meal)
3rd row	Barley (Beer)
4th row	Oatmeal
5th row	Rice

Value	Count	Frequency (%)
Groundnuts	1	2.3%
Poultry Meat	1	2.3%
Cheese	1	2.3%
Coffee	1	2.3%
Eggs	1	2.3%
Maize (Meal)	1	2.3%
Fish (farmed)	1	2.3%
Other Vegetables	1	2.3%
Beef (beef herd)	1	2.3%
Rice	1	2.3%
Other values (33)	33	76.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
oil	5	6.7%
	4	5.3%
other	3	4.0%
beef	3	4.0%
meat	2	2.7%
sugar	2	2.7%
herd	2	2.7%
farmed	2	2.7%
fruit	2	2.7%
vegetables	2	2.7%
Other values (48)	48	64.0%

Most occurring characters

Value	Count	Frequency (%)
e	57	13.2%
a	35	8.1%
	32	7.4%
s	26	6.0%
r	25	5.8%
t	23	5.3%
i	21	4.9%
l	19	4.4%
o	17	3.9%
u	13	3.0%
Other values (34)	163	37.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	316	73.3%
Uppercase Letter	65	15.1%
Space Separator	32	7.4%
Open Punctuation	7	1.6%
Close Punctuation	7	1.6%
Other Punctuation	4	0.9%

Most frequent character per category

Value	Count	Frequency (%)
e	57	18.0%
a	35	11.1%
s	26	8.2%
r	25	7.9%
t	23	7.3%
i	21	6.6%
l	19	6.0%
o	17	5.4%
u	13	4.1%
n	11	3.5%
Other values (13)	69	21.8%

Value	Count	Frequency (%)
O	11	16.9%
B	9	13.8%
M	6	9.2%
P	6	9.2%
C	6	9.2%
S	6	9.2%
R	4	6.2%
F	3	4.6%
W	2	3.1%
G	2	3.1%
Other values (7)	10	15.4%

Value	Count	Frequency (%)
	32	100.0%

Value	Count	Frequency (%)
&	4	100.0%

Value	Count	Frequency (%)
(	7	100.0%

Value	Count	Frequency (%)
)	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	381	88.4%
Common	50	11.6%

Most frequent character per script

Value	Count	Frequency (%)
e	57	15.0%
a	35	9.2%
s	26	6.8%
r	25	6.6%
t	23	6.0%
i	21	5.5%
l	19	5.0%
o	17	4.5%
u	13	3.4%
O	11	2.9%
Other values (30)	134	35.2%

Value	Count	Frequency (%)
	32	64.0%
(	7	14.0%
)	7	14.0%
&	4	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	431	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	57	13.2%
a	35	8.1%
	32	7.4%
s	26	6.0%
r	25	5.8%
t	23	5.3%
i	21	4.9%
l	19	4.4%
o	17	3.9%
u	13	3.0%
Other values (34)	163	37.8%

Land use change
Real number (ℝ)

ZEROS

Distinct	21
Distinct (%)	48.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.260465116
Minimum	-2.1
Maximum	16.3
Zeros	14
Zeros (%)	32.6%
Memory size	472.0 B

Quantile statistics

Minimum	-2.1
5-th percentile	-0.1
Q1	0
median	0.2
Q3	0.8
95-th percentile	4.42
Maximum	16.3
Range	18.4
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	3.357730209
Coefficient of variation (CV)	2.6638819
Kurtosis	14.15401666
Mean	1.260465116
Median Absolute Deviation (MAD)	0.2
Skewness	3.689864453
Sum	54.2
Variance	11.27435216
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	14	32.6%
0.1	3	7.0%
0.5	3	7.0%
0.2	3	7.0%
-0.1	2	4.7%
3.1	2	4.7%
0.4	2	4.7%
-0.4	1	2.3%
3.7	1	2.3%
0.3	1	2.3%
Other values (11)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.1	1	2.3%
-0.4	1	2.3%
-0.1	2	4.7%
0	14	32.6%
0.1	3	7.0%
0.2	3	7.0%
0.3	1	2.3%
0.4	2	4.7%
0.5	3	7.0%
0.6	1	2.3%

Value	Count	Frequency (%)
16.3	1	2.3%
14.3	1	2.3%
4.5	1	2.3%
3.7	1	2.3%
3.1	2	4.7%
2.5	1	2.3%
1.5	1	2.3%
1.2	1	2.3%
1	1	2.3%
0.9	1	2.3%

Animal Feed
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4534883721
Minimum	0
Maximum	2.9
Zeros	33
Zeros (%)	76.7%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2.49
Maximum	2.9
Range	2.9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9191996615
Coefficient of variation (CV)	2.0269531
Kurtosis	1.208387557
Mean	0.4534883721
Median Absolute Deviation (MAD)	0
Skewness	1.710477461
Sum	19.5
Variance	0.8449280177
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	33	76.7%
2.5	2	4.7%
2.2	1	2.3%
2.9	1	2.3%
1.8	1	2.3%
2.4	1	2.3%
2.3	1	2.3%
0.2	1	2.3%
1.9	1	2.3%
0.8	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	76.7%
0.2	1	2.3%
0.8	1	2.3%
1.8	1	2.3%
1.9	1	2.3%
2.2	1	2.3%
2.3	1	2.3%
2.4	1	2.3%
2.5	2	4.7%
2.9	1	2.3%

Value	Count	Frequency (%)
2.9	1	2.3%
2.5	2	4.7%
2.4	1	2.3%
2.3	1	2.3%
2.2	1	2.3%
1.9	1	2.3%
1.8	1	2.3%
0.8	1	2.3%
0.2	1	2.3%
0	33	76.7%

Farm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	24
Distinct (%)	55.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.469767442
Minimum	0.1
Maximum	39.4
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.1
5-th percentile	0.2
Q1	0.35
median	0.8
Q3	2.2
95-th percentile	15.44
Maximum	39.4
Range	39.3
Interquartile range (IQR)	1.85

Descriptive statistics

Standard deviation	7.083264478
Coefficient of variation (CV)	2.041423408
Kurtosis	16.07241923
Mean	3.469767442
Median Absolute Deviation (MAD)	0.6
Skewness	3.721834528
Sum	149.2
Variance	50.17263566
Monotocity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0.2	7	16.3%
0.5	4	9.3%
0.7	4	9.3%
2.1	3	7.0%
0.3	3	7.0%
1.4	2	4.7%
1.5	2	4.7%
3.6	2	4.7%
0.4	1	2.3%
19.5	1	2.3%
Other values (14)	14	32.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	1	2.3%
0.2	7	16.3%
0.3	3	7.0%
0.4	1	2.3%
0.5	4	9.3%
0.6	1	2.3%
0.7	4	9.3%
0.8	1	2.3%
1.1	1	2.3%
1.3	1	2.3%

Value	Count	Frequency (%)
39.4	1	2.3%
19.5	1	2.3%
15.7	1	2.3%
13.1	1	2.3%
10.4	1	2.3%
8.4	1	2.3%
4.3	1	2.3%
3.7	1	2.3%
3.6	2	4.7%
2.3	1	2.3%

Processing
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2534883721
Minimum	0
Maximum	1.3
Zeros	18
Zeros (%)	41.9%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.1
Q3	0.3
95-th percentile	1.1
Maximum	1.3
Range	1.3
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.3724748871
Coefficient of variation (CV)	1.469396344
Kurtosis	2.036360908
Mean	0.2534883721
Median Absolute Deviation (MAD)	0.1
Skewness	1.727699171
Sum	10.9
Variance	0.1387375415
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	18	41.9%
0.1	7	16.3%
0.2	6	14.0%
1.3	2	4.7%
0.3	2	4.7%
0.7	2	4.7%
0.4	2	4.7%
1.1	2	4.7%
0.6	1	2.3%
0.8	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	18	41.9%
0.1	7	16.3%
0.2	6	14.0%
0.3	2	4.7%
0.4	2	4.7%
0.6	1	2.3%
0.7	2	4.7%
0.8	1	2.3%
1.1	2	4.7%
1.3	2	4.7%

Value	Count	Frequency (%)
1.3	2	4.7%
1.1	2	4.7%
0.8	1	2.3%
0.7	2	4.7%
0.6	1	2.3%
0.4	2	4.7%
0.3	2	4.7%
0.2	6	14.0%
0.1	7	16.3%
0	18	41.9%

Transport
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1953488372
Minimum	0
Maximum	0.8
Zeros	1
Zeros (%)	2.3%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	0.1
median	0.1
Q3	0.2
95-th percentile	0.5
Maximum	0.8
Range	0.8
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.1587952986
Coefficient of variation (CV)	0.812880695
Kurtosis	4.696652541
Mean	0.1953488372
Median Absolute Deviation (MAD)	0
Skewness	2.062834162
Sum	8.4
Variance	0.02521594684
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0.1	23	53.5%
0.2	9	20.9%
0.3	5	11.6%
0.5	2	4.7%
0.8	1	2.3%
0.6	1	2.3%
0.4	1	2.3%
0	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	2.3%
0.1	23	53.5%
0.2	9	20.9%
0.3	5	11.6%
0.4	1	2.3%
0.5	2	4.7%
0.6	1	2.3%
0.8	1	2.3%

Value	Count	Frequency (%)
0.8	1	2.3%
0.6	1	2.3%
0.5	2	4.7%
0.4	1	2.3%
0.3	5	11.6%
0.2	9	20.9%
0.1	23	53.5%
0	1	2.3%

Packging
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2697674419
Minimum	0
Maximum	1.6
Zeros	10
Zeros (%)	23.3%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.1
median	0.1
Q3	0.3
95-th percentile	0.9
Maximum	1.6
Range	1.6
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.3426332787
Coefficient of variation (CV)	1.270106119
Kurtosis	4.47441139
Mean	0.2697674419
Median Absolute Deviation (MAD)	0.1
Skewness	2.009749088
Sum	11.6
Variance	0.1173975637
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.1	13	30.2%
0	10	23.3%
0.2	6	14.0%
0.3	4	9.3%
0.9	3	7.0%
0.4	2	4.7%
0.8	2	4.7%
0.7	1	2.3%
1.6	1	2.3%
0.5	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10	23.3%
0.1	13	30.2%
0.2	6	14.0%
0.3	4	9.3%
0.4	2	4.7%
0.5	1	2.3%
0.7	1	2.3%
0.8	2	4.7%
0.9	3	7.0%
1.6	1	2.3%

Value	Count	Frequency (%)
1.6	1	2.3%
0.9	3	7.0%
0.8	2	4.7%
0.7	1	2.3%
0.5	1	2.3%
0.4	2	4.7%
0.3	4	9.3%
0.2	6	14.0%
0.1	13	30.2%
0	10	23.3%

Retail
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	472.0 B

0.0	29
0.2	6
0.3	5
0.1	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	129
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.1
2nd row	0.0
3rd row	0.3
4th row	0.0
5th row	0.1

Value	Count	Frequency (%)
0.0	29	67.4%
0.2	6	14.0%
0.3	5	11.6%
0.1	3	7.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	29	67.4%
0.2	6	14.0%
0.3	5	11.6%
0.1	3	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	72	55.8%
.	43	33.3%
2	6	4.7%
3	5	3.9%
1	3	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	86	66.7%
Other Punctuation	43	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	72	83.7%
2	6	7.0%
3	5	5.8%
1	3	3.5%

Value	Count	Frequency (%)
.	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	129	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	72	55.8%
.	43	33.3%
2	6	4.7%
3	5	3.9%
1	3	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	72	55.8%
.	43	33.3%
2	6	4.7%
3	5	3.9%
1	3	2.3%

Total_emissions
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	34
Distinct (%)	79.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.972093023
Minimum	0.2
Maximum	59.6
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.2
5-th percentile	0.3
Q1	0.85
median	1.6
Q3	6
95-th percentile	21.19
Maximum	59.6
Range	59.4
Interquartile range (IQR)	5.15

Descriptive statistics

Standard deviation	10.50175327
Coefficient of variation (CV)	1.758471147
Kurtosis	16.08415157
Mean	5.972093023
Median Absolute Deviation (MAD)	1.3
Skewness	3.618266532
Sum	256.8
Variance	110.2868217
Monotocity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
0.3	4	9.3%
1.4	3	7.0%
1.1	3	7.0%
1.6	2	4.7%
0.8	2	4.7%
6	1	2.3%
6	1	2.3%
3	1	2.3%
0.5	1	2.3%
1	1	2.3%
Other values (24)	24	55.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2	1	2.3%
0.3	1	2.3%
0.3	4	9.3%
0.4	1	2.3%
0.5	1	2.3%
0.7	1	2.3%
0.8	2	4.7%
0.9	1	2.3%
1	1	2.3%
1.1	3	7.0%

Value	Count	Frequency (%)
59.6	1	2.3%
24.5	1	2.3%
21.2	1	2.3%
21.1	1	2.3%
18.7	1	2.3%
16.5	1	2.3%
11.8	1	2.3%
7.6	1	2.3%
7.2	1	2.3%
6.1	1	2.3%

Eutrophying emissions per 1000kcal (gPO₄eq per 1000kcal)
Real number (ℝ_≥0)

MISSING

Distinct	33
Distinct (%)	100.0%
Missing	10
Missing (%)	23.3%
Infinite	0
Infinite (%)	0.0%

Mean	27.18154679
Minimum	0.708418891
Maximum	197.3571429
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.708418891
5-th percentile	1.407591755
Q1	4.214932127
median	7
Q3	26.32432432
95-th percentile	132.3335175
Maximum	197.3571429
Range	196.648724
Interquartile range (IQR)	22.10939219

Descriptive statistics

Standard deviation	46.44595861
Coefficient of variation (CV)	1.708731257
Kurtosis	5.927483136
Mean	27.18154679
Median Absolute Deviation (MAD)	4.82918552
Skewness	2.524743369
Sum	896.991044
Variance	2157.227071
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
131.3519553	1	2.3%
4.754098361	1	2.3%
15.11111111	1	2.3%
5.730769231	1	2.3%
2.173410405	1	2.3%
25.41860465	1	2.3%
31.958159	1	2.3%
2.437931034	1	2.3%
4.820512821	1	2.3%
26.32432432	1	2.3%
Other values (23)	23	53.5%
(Missing)	10	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.708418891	1	2.3%
1.207013575	1	2.3%
1.541310541	1	2.3%
2.17081448	1	2.3%
2.173410405	1	2.3%
2.437931034	1	2.3%
3.020833333	1	2.3%
3.113821138	1	2.3%
4.214932127	1	2.3%
4.281357225	1	2.3%

Value	Count	Frequency (%)
197.3571429	1	2.3%
133.8058608	1	2.3%
131.3519553	1	2.3%
110.4065934	1	2.3%
39.52631579	1	2.3%
31.958159	1	2.3%
30.64037855	1	2.3%
29.47058824	1	2.3%
26.32432432	1	2.3%
25.41860465	1	2.3%

Eutrophying emissions per kilogram (gPO₄eq per kilogram)
Real number (ℝ_≥0)

MISSING

Distinct	38
Distinct (%)	100.0%
Missing	5
Missing (%)	11.6%
Infinite	0
Infinite (%)	0.0%

Mean	46.14131579
Minimum	0.69
Maximum	365.29
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.69
5-th percentile	1.3915
Q1	3.7525
median	11.46
Q3	45.84
95-th percentile	245.0635
Maximum	365.29
Range	364.6
Interquartile range (IQR)	42.0875

Descriptive statistics

Standard deviation	82.80880774
Coefficient of variation (CV)	1.794678074
Kurtosis	7.553148311
Mean	46.14131579
Median Absolute Deviation (MAD)	9.11
Skewness	2.762099951
Sum	1753.37
Variance	6857.298639
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1.06	1	2.3%
48.7	1	2.3%
19.15	1	2.3%
7.51	1	2.3%
35.07	1	2.3%
3.48	1	2.3%
50.66	1	2.3%
5.41	1	2.3%
6.12	1	2.3%
2.24	1	2.3%
Other values (28)	28	65.1%
(Missing)	5	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.69	1	2.3%
1.06	1	2.3%
1.45	1	2.3%
1.61	1	2.3%
2.24	1	2.3%
2.27	1	2.3%
2.43	1	2.3%
3.24	1	2.3%
3.29	1	2.3%
3.48	1	2.3%

Value	Count	Frequency (%)
365.29	1	2.3%
301.41	1	2.3%
235.12	1	2.3%
110.52	1	2.3%
98.37	1	2.3%
97.13	1	2.3%
87.08	1	2.3%
76.38	1	2.3%
50.66	1	2.3%
48.7	1	2.3%

Eutrophying emissions per 100g protein (gPO₄eq per 100 grams protein)
Real number (ℝ_≥0)

MISSING

Distinct	27
Distinct (%)	100.0%
Missing	16
Missing (%)	37.2%
Infinite	0
Infinite (%)	0.0%

Mean	52.77195315
Minimum	3.384338434
Maximum	185.0506586
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	3.384338434
5-th percentile	6.080748663
Q1	17.85533525
median	37.33333333
Q3	55.2971831
95-th percentile	167.2595426
Maximum	185.0506586
Range	181.6663202
Interquartile range (IQR)	37.44184784

Descriptive statistics

Standard deviation	52.03382288
Coefficient of variation (CV)	0.9860128303
Kurtosis	1.298967267
Mean	52.77195315
Median Absolute Deviation (MAD)	21.23333333
Skewness	1.495540102
Sum	1424.842735
Variance	2707.518724
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
7.666666667	1	2.3%
45.54545455	1	2.3%
11.72688304	1	2.3%
5.401069519	1	2.3%
19.61067051	1	2.3%
151.1584754	1	2.3%
36.55555556	1	2.3%
7.97758057	1	2.3%
61.2	1	2.3%
8.638461538	1	2.3%
Other values (17)	17	39.5%
(Missing)	16	37.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.384338434	1	2.3%
5.401069519	1	2.3%
7.666666667	1	2.3%
7.97758057	1	2.3%
8.638461538	1	2.3%
11.72688304	1	2.3%
16.1	1	2.3%
19.61067051	1	2.3%
20.47058824	1	2.3%
24.92307692	1	2.3%

Value	Count	Frequency (%)
185.0506586	1	2.3%
174.16	1	2.3%
151.1584754	1	2.3%
138.15	1	2.3%
103.1001973	1	2.3%
68.27272727	1	2.3%
61.2	1	2.3%
49.3943662	1	2.3%
48.54072964	1	2.3%
48.33333333	1	2.3%

Freshwater withdrawals per 1000kcal (liters per 1000kcal)
Real number (ℝ_≥0)

MISSING

Distinct	30
Distinct (%)	100.0%
Missing	13
Missing (%)	30.2%
Infinite	0
Infinite (%)	0.0%

Mean	504.1889772
Minimum	0.7239819
Maximum	2062.178771
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.7239819
5-th percentile	32.18091904
Q1	106.9275569
median	338.0594129
Q3	694.8053563
95-th percentile	1722.241126
Maximum	2062.178771
Range	2061.454789
Interquartile range (IQR)	587.8777994

Descriptive statistics

Standard deviation	539.130695
Coefficient of variation (CV)	1.06930282
Kurtosis	2.470517216
Mean	504.1889772
Median Absolute Deviation (MAD)	266.6134827
Skewness	1.650518227
Sum	15125.66932
Variance	290661.9063
Monotocity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
2062.178771	1	2.3%
46.25	1	2.3%
1047	1	2.3%
1946.315789	1	2.3%
375.2083333	1	2.3%
183.9115517	1	2.3%
190.8333333	1	2.3%
76.75675676	1	2.3%
114.0158371	1	2.3%
1448.372093	1	2.3%
Other values (20)	20	46.5%
(Missing)	13	30.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.7239819	1	2.3%
26.88914027	1	2.3%
38.64864865	1	2.3%
46.25	1	2.3%
62.02279202	1	2.3%
76.75675676	1	2.3%
80.73770492	1	2.3%
104.5647969	1	2.3%
114.0158371	1	2.3%
176.6666667	1	2.3%

Value	Count	Frequency (%)
2062.178771	1	2.3%
1946.315789	1	2.3%
1448.372093	1	2.3%
1047	1	2.3%
994.2490842	1	2.3%
751.3807531	1	2.3%
736.1403509	1	2.3%
702.3529412	1	2.3%
672.1626016	1	2.3%
609.9837222	1	2.3%

Freshwater withdrawals per 100g protein (liters per 100g protein)
Real number (ℝ_≥0)

MISSING

Distinct	26
Distinct (%)	100.0%
Missing	17
Missing (%)	39.5%
Infinite	0
Infinite (%)	0.0%

Mean	1437.975324
Minimum	32.375
Maximum	6003.333333
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	32.375
5-th percentile	127.1219622
Q1	373.5732813
median	1083.327272
Q3	1832.386339
95-th percentile	3987.454545
Maximum	6003.333333
Range	5970.958333
Interquartile range (IQR)	1458.813058

Descriptive statistics

Standard deviation	1441.98197
Coefficient of variation (CV)	1.002786311
Kurtosis	2.919149181
Mean	1437.975324
Median Absolute Deviation (MAD)	723.9652815
Skewness	1.664018929
Sum	37387.35841
Variance	2079312
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
707.5248281	1	2.3%
110	1	2.3%
284	1	2.3%
4196	1	2.3%
32.375	1	2.3%
1375.025329	1	2.3%
6003.333333	1	2.3%
347.6470588	1	2.3%
3361.818182	1	2.3%
1085.454545	1	2.3%
Other values (16)	16	37.2%
(Missing)	17	39.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
32.375	1	2.3%
110	1	2.3%
178.4878488	1	2.3%
203.503036	1	2.3%
284	1	2.3%
347.6470588	1	2.3%
371.0769231	1	2.3%
381.0623557	1	2.3%
520.6380678	1	2.3%
707.5248281	1	2.3%

Value	Count	Frequency (%)
6003.333333	1	2.3%
4196	1	2.3%
3361.818182	1	2.3%
3166.760563	1	2.3%
2538.586957	1	2.3%
2531.414574	1	2.3%
1903.636364	1	2.3%
1618.636264	1	2.3%
1378.333333	1	2.3%
1375.025329	1	2.3%

Freshwater withdrawals per kilogram (liters per kilogram)
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	38
Distinct (%)	100.0%
Missing	5
Missing (%)	11.6%
Infinite	0
Infinite (%)	0.0%

Mean	932.6052632
Minimum	0
Maximum	5605.2
Zeros	1
Zeros (%)	2.3%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	13.115
Q1	105.5
median	417.1
Q3	1340.375
95-th percentile	3757.675
Maximum	5605.2
Range	5605.2
Interquartile range (IQR)	1234.875

Descriptive statistics

Standard deviation	1296.999186
Coefficient of variation (CV)	1.390726857
Kurtosis	4.217903772
Mean	932.6052632
Median Absolute Deviation (MAD)	336.3
Skewness	2.052460322
Sum	35439
Variance	1682206.889
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
577.7	1	2.3%
482.4	1	2.3%
78.9	1	2.3%
27.8	1	2.3%
2141.8	1	2.3%
1852.3	1	2.3%
1795.8	1	2.3%
6.4	1	2.3%
4133.8	1	2.3%
3691.3	1	2.3%
Other values (28)	28	65.1%
(Missing)	5	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	2.3%
6.4	1	2.3%
14.3	1	2.3%
25.9	1	2.3%
27.8	1	2.3%
28.4	1	2.3%
59.1	1	2.3%
78.9	1	2.3%
82.7	1	2.3%
102.5	1	2.3%

Value	Count	Frequency (%)
5605.2	1	2.3%
4133.8	1	2.3%
3691.3	1	2.3%
2714.3	1	2.3%
2248.4	1	2.3%
2141.8	1	2.3%
1852.3	1	2.3%
1802.8	1	2.3%
1795.8	1	2.3%
1451.2	1	2.3%

Greenhouse gas emissions per 1000kcal (kgCO₂eq per 1000kcal)
Real number (ℝ_≥0)

MISSING

Distinct	33
Distinct (%)	100.0%
Missing	10
Missing (%)	23.3%
Infinite	0
Infinite (%)	0.0%

Mean	5.633942969
Minimum	0.069918699
Maximum	50.94642857
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.069918699
5-th percentile	0.357638689
Q1	0.628415301
median	1.351351351
Q3	5.335135135
95-th percentile	22.09380525
Maximum	50.94642857
Range	50.87650987
Interquartile range (IQR)	4.706719834

Descriptive statistics

Standard deviation	10.61357478
Coefficient of variation (CV)	1.883862658
Kurtosis	11.94509787
Mean	5.633942969
Median Absolute Deviation (MAD)	0.944111532
Skewness	3.362408575
Sum	185.920118
Variance	112.6479696
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
5.335135135	1	2.3%
0.556896552	1	2.3%
1.433333333	1	2.3%
0.426470588	1	2.3%
0.828054299	1	2.3%
0.911680912	1	2.3%
0.283236994	1	2.3%
9.023210832	1	2.3%
1.162162162	1	2.3%
0.515669516	1	2.3%
Other values (23)	23	53.5%
(Missing)	10	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.069918699	1	2.3%
0.283236994	1	2.3%
0.407239819	1	2.3%
0.426470588	1	2.3%
0.515669516	1	2.3%
0.524926686	1	2.3%
0.556896552	1	2.3%
0.613122172	1	2.3%
0.628415301	1	2.3%
0.828054299	1	2.3%

Value	Count	Frequency (%)
50.94642857	1	2.3%
36.43956044	1	2.3%
12.52996845	1	2.3%
12.1978022	1	2.3%
11	1	2.3%
9.023210832	1	2.3%
7.61452514	1	2.3%
6.170542636	1	2.3%
5.335135135	1	2.3%
5.25	1	2.3%

Greenhouse gas emissions per 100g protein (kgCO₂eq per 100g protein)
Real number (ℝ_≥0)

MISSING

Distinct	27
Distinct (%)	100.0%
Missing	16
Missing (%)	37.2%
Infinite	0
Infinite (%)	0.0%

Mean	13.52490588
Minimum	0.263319045
Maximum	93.3
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.263319045
5-th percentile	0.5595482479
Q1	4.027438855
median	6.5
Q3	14.98333334
95-th percentile	45.62151831
Maximum	93.3
Range	93.03668095
Interquartile range (IQR)	10.95589448

Descriptive statistics

Standard deviation	19.42746154
Coefficient of variation (CV)	1.4364212
Kurtosis	11.13885976
Mean	13.52490588
Median Absolute Deviation (MAD)	4.592307692
Skewness	3.11912025
Sum	365.1724588
Variance	377.426262
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
1.233766234	1	2.3%
0.441044104	1	2.3%
2.705882353	1	2.3%
14.66666667	1	2.3%
19	1	2.3%
6.5	1	2.3%
9.5	1	2.3%
16.86930091	1	2.3%
49.88966901	1	2.3%
5.698614319	1	2.3%
Other values (17)	17	39.5%
(Missing)	16	37.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.263319045	1	2.3%
0.441044104	1	2.3%
0.836057917	1	2.3%
1.233766234	1	2.3%
1.907692308	1	2.3%
2.705882353	1	2.3%
3.846153846	1	2.3%
4.208723864	1	2.3%
4.3	1	2.3%
4.636363636	1	2.3%

Value	Count	Frequency (%)
93.3	1	2.3%
49.88966901	1	2.3%
35.6625	1	2.3%
19.85007496	1	2.3%
19	1	2.3%
16.86930091	1	2.3%
15.3	1	2.3%
14.66666667	1	2.3%
14.33333333	1	2.3%
10.81521739	1	2.3%

Land use per 1000kcal (m² per 1000kcal)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	100.0%
Missing	10
Missing (%)	23.3%
Infinite	0
Infinite (%)	0.0%

Mean	12.42316536
Minimum	0.273755656
Maximum	119.4908425
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.273755656
5-th percentile	0.557264957
Q1	1.3125
median	2.976244344
Q3	6.605405405
95-th percentile	69.82800812
Maximum	119.4908425
Range	119.2170868
Interquartile range (IQR)	5.292905405

Descriptive statistics

Standard deviation	28.34869347
Coefficient of variation (CV)	2.281921929
Kurtosis	11.3039086
Mean	12.42316536
Median Absolute Deviation (MAD)	1.773755656
Skewness	3.434620949
Sum	409.9644569
Variance	803.6484213
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
1.997737557	1	2.3%
119.4908425	1	2.3%
38.60714286	1	2.3%
3.235294118	1	2.3%
1.858316222	1	2.3%
0.273755656	1	2.3%
1.202185792	1	2.3%
4.565982405	1	2.3%
15.83882784	1	2.3%
2.156069364	1	2.3%
Other values (23)	23	53.5%
(Missing)	10	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.273755656	1	2.3%
0.521367521	1	2.3%
0.581196581	1	2.3%
0.759631036	1	2.3%
0.891891892	1	2.3%
1.054054054	1	2.3%
1.202185792	1	2.3%
1.202488688	1	2.3%
1.3125	1	2.3%
1.570689655	1	2.3%

Value	Count	Frequency (%)
119.4908425	1	2.3%
116.659306	1	2.3%
38.60714286	1	2.3%
22.68475452	1	2.3%
15.83882784	1	2.3%
14.91666667	1	2.3%
13.3384913	1	2.3%
7.263598326	1	2.3%
6.605405405	1	2.3%
4.698324022	1	2.3%

Land use per kilogram (m² per kilogram)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	100.0%
Missing	5
Missing (%)	11.6%
Infinite	0
Infinite (%)	0.0%

Mean	29.26447368
Minimum	0.33
Maximum	369.81
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	0.33
5-th percentile	0.3885
Q1	1.1125
median	6.865
Q3	14.9175
95-th percentile	123.553
Maximum	369.81
Range	369.48
Interquartile range (IQR)	13.805

Descriptive statistics

Standard deviation	78.49007366
Coefficient of variation (CV)	2.68209415
Kurtosis	14.53992074
Mean	29.26447368
Median Absolute Deviation (MAD)	5.995
Skewness	3.862068603
Sum	1112.05
Variance	6160.691663
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1.78	1	2.3%
0.88	1	2.3%
7.46	1	2.3%
9.11	1	2.3%
15.57	1	2.3%
326.21	1	2.3%
0.39	1	2.3%
369.81	1	2.3%
0.86	1	2.3%
7.6	1	2.3%
Other values (28)	28	65.1%
(Missing)	5	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.33	1	2.3%
0.38	1	2.3%
0.39	1	2.3%
0.55	1	2.3%
0.63	1	2.3%
0.66	1	2.3%
0.8	1	2.3%
0.86	1	2.3%
0.88	1	2.3%
0.89	1	2.3%

Value	Count	Frequency (%)
369.81	1	2.3%
326.21	1	2.3%
87.79	1	2.3%
68.96	1	2.3%
43.24	1	2.3%
26.31	1	2.3%
21.62	1	2.3%
17.66	1	2.3%
17.36	1	2.3%
15.57	1	2.3%

Land use per 100g protein (m² per 100g protein)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	100.0%
Missing	16
Missing (%)	37.2%
Infinite	0
Infinite (%)	0.0%

Mean	29.10504164
Minimum	3
Maximum	184.8125937
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	3
5-th percentile	3.31720072
Q1	5.088235294
median	7.936313533
Q3	23.00238095
95-th percentile	155.8930512
Maximum	184.8125937
Range	181.8125937
Interquartile range (IQR)	17.91414566

Descriptive statistics

Standard deviation	49.30733927
Coefficient of variation (CV)	1.694116775
Kurtosis	5.311746662
Mean	29.10504164
Median Absolute Deviation (MAD)	4.636313533
Skewness	2.526165315
Sum	785.8361243
Variance	2431.213706
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
137.92	1	2.3%
3	1	2.3%
5	1	2.3%
21	1	2.3%
7.272302662	1	2.3%
5.176470588	1	2.3%
21.44444444	1	2.3%
184.8125937	1	2.3%
3.479755539	1	2.3%
3.357335734	1	2.3%
Other values (17)	17	39.5%
(Missing)	16	37.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	1	2.3%
3.3	1	2.3%
3.357335734	1	2.3%
3.479755539	1	2.3%
3.687787766	1	2.3%
3.943661972	1	2.3%
5	1	2.3%
5.176470588	1	2.3%
5.650684932	1	2.3%
5.846153846	1	2.3%

Value	Count	Frequency (%)
184.8125937	1	2.3%
163.5957874	1	2.3%
137.92	1	2.3%
39.75996377	1	2.3%
27.12121212	1	2.3%
27.025	1	2.3%
24.1	1	2.3%
21.9047619	1	2.3%
21.44444444	1	2.3%
21	1	2.3%

Scarcity-weighted water use per kilogram (liters per kilogram)
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	38
Distinct (%)	100.0%
Missing	5
Missing (%)	11.6%
Infinite	0
Infinite (%)	0.0%

Mean	36607.42895
Minimum	0
Maximum	229889.8
Zeros	1
Zeros (%)	2.3%
Memory size	472.0 B

Quantile statistics

Minimum	0
5-th percentile	291.88
Q1	3325.075
median	14533.05
Q3	35960.175
95-th percentile	177985.76
Maximum	229889.8
Range	229889.8
Interquartile range (IQR)	32635.1

Descriptive statistics

Standard deviation	56891.28305
Coefficient of variation (CV)	1.554091196
Kurtosis	4.075315891
Mean	36607.42895
Median Absolute Deviation (MAD)	13399.45
Skewness	2.18698268
Sum	1391082.3
Variance	3236618087
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
18786.2	1	2.3%
141925	1	2.3%
61797.9	1	2.3%
41572.2	1	2.3%
17982.7	1	2.3%
12948.6	1	2.3%
1149.3	1	2.3%
929.2	1	2.3%
14177.9	1	2.3%
14888.2	1	2.3%
Other values (28)	28	65.1%
(Missing)	5	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	2.3%
36.2	1	2.3%
337	1	2.3%
661.9	1	2.3%
929.2	1	2.3%
932	1	2.3%
955.6	1	2.3%
1149.3	1	2.3%
2754.2	1	2.3%
2879.2	1	2.3%

Value	Count	Frequency (%)
229889.8	1	2.3%
180850.6	1	2.3%
177480.2	1	2.3%
141925	1	2.3%
119805.2	1	2.3%
66867.4	1	2.3%
61797.9	1	2.3%
49576.3	1	2.3%
41572.2	1	2.3%
36369.4	1	2.3%

Scarcity-weighted water use per 100g protein (liters per 100g protein)
Real number (ℝ_≥0)

MISSING

Distinct	26
Distinct (%)	100.0%
Missing	17
Missing (%)	39.5%
Infinite	0
Infinite (%)	0.0%

Mean	59196.4385
Minimum	421.25
Maximum	431620
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	421.25
5-th percentile	6111.107692
Q1	11018.40101
median	20917.2136
Q3	70651.72102
95-th percentile	193910.1468
Maximum	431620
Range	431198.75
Interquartile range (IQR)	59633.32001

Descriptive statistics

Standard deviation	89928.1893
Coefficient of variation (CV)	1.519148644
Kurtosis	12.08053182
Mean	59196.4385
Median Absolute Deviation (MAD)	17784.39703
Skewness	3.230307937
Sum	1539107.401
Variance	8087079231
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
10498.55208	1	2.3%
12577.94779	1	2.3%
421.25	1	2.3%
211621	1	2.3%
431620	1	2.3%
77711.66667	1	2.3%
140777.5873	1	2.3%
17418.50552	1	2.3%
48506.36364	1	2.3%
5758.4	1	2.3%
Other values (16)	16	37.2%
(Missing)	17	39.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
421.25	1	2.3%
5758.4	1	2.3%
7169.230769	1	2.3%
7354.444444	1	2.3%
8185.854503	1	2.3%
9292	1	2.3%
10498.55208	1	2.3%
12577.94779	1	2.3%
14450.92308	1	2.3%
16201.17647	1	2.3%

Value	Count	Frequency (%)
431620	1	2.3%
211621	1	2.3%
140777.5873	1	2.3%
81906.97464	1	2.3%
77711.66667	1	2.3%
76864.54545	1	2.3%
70927.03648	1	2.3%
69825.77465	1	2.3%
60691.59068	1	2.3%
59958.48485	1	2.3%

Scarcity-weighted water use per 1000kcal (liters per 1000 kilocalories)
Real number (ℝ_≥0)

MISSING

Distinct	30
Distinct (%)	100.0%
Missing	13
Missing (%)	30.2%
Infinite	0
Infinite (%)	0.0%

Mean	17380.57541
Minimum	4.095022624
Maximum	49735.88235
Zeros	0
Zeros (%)	0.0%
Memory size	472.0 B

Quantile statistics

Minimum	4.095022624
5-th percentile	577.1014438
Q1	2969.124983
median	12605.25679
Q3	28056.47159
95-th percentile	45849.36368
Maximum	49735.88235
Range	49731.78733
Interquartile range (IQR)	25087.34661

Descriptive statistics

Standard deviation	16232.08021
Coefficient of variation (CV)	0.9339207608
Kurtosis	-0.924351751
Mean	17380.57541
Median Absolute Deviation (MAD)	11013.15519
Skewness	0.680943518
Sum	521417.2623
Variance	263480427.9
Monotocity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
1198.382353	1	2.3%
4683.361823	1	2.3%
4.095022624	1	2.3%
556.9052224	1	2.3%
26976.25	1	2.3%
2704.643875	1	2.3%
49735.88235	1	2.3%
2511.351351	1	2.3%
27977.99163	1	2.3%
37380.45528	1	2.3%
Other values (20)	20	46.5%
(Missing)	13	30.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.095022624	1	2.3%
556.9052224	1	2.3%
601.7857143	1	2.3%
1103.166667	1	2.3%
1198.382353	1	2.3%
2511.351351	1	2.3%
2518.918919	1	2.3%
2704.643875	1	2.3%
3762.568306	1	2.3%
4114.18552	1	2.3%

Value	Count	Frequency (%)
49735.88235	1	2.3%
46731.42119	1	2.3%
44771.29338	1	2.3%
43884.68864	1	2.3%
37380.45528	1	2.3%
37126.49123	1	2.3%
32977.16667	1	2.3%
28082.63158	1	2.3%
27977.99163	1	2.3%
26976.25	1	2.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Food product	Land use change	Farm	Processing	Transport	Packging	Retail	Total_emissions	Eutrophying emissions per 1000kcal (gPO₄eq per 1000kcal)	Eutrophying emissions per kilogram (gPO₄eq per kilogram)	Eutrophying emissions per 100g protein (gPO₄eq per 100 grams protein)	Freshwater withdrawals per 1000kcal (liters per 1000kcal)	Freshwater withdrawals per 100g protein (liters per 100g protein)	Freshwater withdrawals per kilogram (liters per kilogram)	Greenhouse gas emissions per 1000kcal (kgCO₂eq per 1000kcal)	Greenhouse gas emissions per 100g protein (kgCO₂eq per 100g protein)	Land use per 1000kcal (m² per 1000kcal)	Land use per kilogram (m² per kilogram)	Land use per 100g protein (m² per 100g protein)	Scarcity-weighted water use per kilogram (liters per kilogram)	Scarcity-weighted water use per 100g protein (liters per 100g protein)	Scarcity-weighted water use per 1000kcal (liters per 1000 kilocalories)
0	Wheat & Rye (Bread)	0.1	0.8	0.2	0.1	0.1	0.1	1.4	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	Maize (Meal)	0.3	0.5	0.1	0.1	0.1	0.0	1.1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	Barley (Beer)	0.0	0.2	0.1	0.0	0.5	0.3	1.1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	Oatmeal	0.0	1.4	0.0	0.1	0.1	0.0	1.6	4.281357	11.23	8.638462	183.911552	371.076923	482.4	0.945482	1.907692	2.897446	7.60	5.846154	18786.2	14450.92308	7162.104461
4	Rice	0.0	3.6	0.1	0.1	0.1	0.1	4.0	9.514379	35.07	49.394366	609.983722	3166.760563	2248.4	1.207271	6.267606	0.759631	2.80	3.943662	49576.3	69825.77465	13449.891480
5	Potatoes	0.0	0.2	0.0	0.1	0.0	0.0	0.3	4.754098	3.48	20.470588	80.737705	347.647059	59.1	0.628415	2.705882	1.202186	0.88	5.176471	2754.2	16201.17647	3762.568306
6	Cassava	0.6	0.2	0.0	0.1	0.0	0.0	0.9	0.708419	0.69	7.666667	NaN	NaN	0.0	1.355236	14.666667	1.858316	1.81	20.111111	0.0	NaN	NaN
7	Cane Sugar	1.2	0.5	0.0	0.8	0.1	0.0	2.6	4.820513	16.92	NaN	176.666667	NaN	620.1	0.911681	NaN	0.581197	2.04	NaN	16438.6	NaN	4683.361823
8	Beet Sugar	0.0	0.5	0.2	0.6	0.1	0.0	1.4	1.541311	5.41	NaN	62.022792	NaN	217.7	0.515670	NaN	0.521368	1.83	NaN	9493.3	NaN	2704.643875
9	Other Pulses	0.0	1.1	0.0	0.1	0.4	0.0	1.6	5.008798	17.08	7.977581	NaN	203.503036	435.7	0.524927	0.836058	4.565982	15.57	7.272303	22477.4	10498.55208	NaN

Last rows

	Food product	Land use change	Animal Feed	Farm	Processing	Transport	Packging	Retail	Total_emissions	Eutrophying emissions per 1000kcal (gPO₄eq per 1000kcal)	Eutrophying emissions per kilogram (gPO₄eq per kilogram)	Eutrophying emissions per 100g protein (gPO₄eq per 100 grams protein)	Freshwater withdrawals per 1000kcal (liters per 1000kcal)	Freshwater withdrawals per 100g protein (liters per 100g protein)	Freshwater withdrawals per kilogram (liters per kilogram)	Greenhouse gas emissions per 1000kcal (kgCO₂eq per 1000kcal)	Greenhouse gas emissions per 100g protein (kgCO₂eq per 100g protein)	Land use per 1000kcal (m² per 1000kcal)	Land use per kilogram (m² per kilogram)	Land use per 100g protein (m² per 100g protein)	Scarcity-weighted water use per kilogram (liters per kilogram)	Scarcity-weighted water use per 100g protein (liters per 100g protein)	Scarcity-weighted water use per 1000kcal (liters per 1000 kilocalories)
33	Beef (beef herd)	16.3	1.9	39.4	1.3	0.3	0.2	0.2	59.6	110.406593	301.41	151.158475	531.575092	727.783350	1451.2	36.439560	49.889669	119.490842	326.21	163.595787	34732.5	17418.505520	12722.52747
34	Beef (dairy herd)	0.9	2.5	15.7	1.1	0.4	0.3	0.2	21.1	133.805861	365.29	185.050659	994.249084	1375.025329	2714.3	12.197802	16.869301	15.838828	43.24	21.904762	119805.2	60691.590680	43884.68864
35	Lamb & Mutton	0.5	2.4	19.5	1.1	0.5	0.3	0.2	24.5	30.640379	97.13	48.540730	568.706625	900.949525	1802.8	12.529968	19.850075	116.659306	369.81	184.812594	141925.0	70927.036480	44771.29338
36	Pig Meat	1.5	2.9	1.7	0.3	0.3	0.3	0.2	7.2	31.958159	76.38	47.206428	751.380753	1109.888752	1795.8	5.150628	7.608158	7.263598	17.36	10.729295	66867.4	41327.194070	27977.99163
37	Poultry Meat	2.5	1.8	0.7	0.4	0.3	0.2	0.2	6.1	26.324324	48.70	28.117783	356.756757	381.062356	660.0	5.335135	5.698614	6.605405	12.22	7.055427	14177.9	8185.854503	7663.72973
38	Milk	0.5	0.2	1.5	0.1	0.1	0.1	0.3	2.8	17.750000	10.65	32.272727	1047.000000	1903.636364	628.2	5.250000	9.500000	14.916667	8.95	27.121212	19786.3	59958.484850	32977.16667
39	Cheese	4.5	2.3	13.1	0.7	0.1	0.2	0.3	21.2	25.418605	98.37	44.551630	1448.372093	2538.586957	5605.2	6.170543	10.815217	22.684755	87.79	39.759964	180850.6	81906.974640	46731.42119
40	Eggs	0.7	2.2	1.3	0.0	0.1	0.2	0.0	4.5	15.111111	21.76	19.610671	401.180556	520.638068	577.7	3.243056	4.208724	4.354167	6.27	5.650685	17982.7	16206.470800	12487.98611
41	Fish (farmed)	0.5	0.8	3.6	0.0	0.1	0.1	0.0	5.1	131.351955	235.12	103.100197	2062.178771	1618.636264	3691.3	7.614525	5.976759	4.698324	8.41	3.687788	41572.2	18229.423370	23224.69274
42	Shrimps (farmed)	0.2	2.5	8.4	0.0	0.2	0.3	0.2	11.8	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows